The crux of the problem in deploying a data science team is aligning the technical knowledge of a team to the needs of the business and choosing an alignment that offers the greatest impact. In the magical land of Silicon Valley, there is a legend about successful data science teams: They are made up of mythical creatures called “unicorns.”
These data science unicorns hold advanced degrees in math and science, program in R/Python/Scala/Spark, deploy code on cloud platforms, put together compelling PowerPoints, and command rooms of executives. There’s no denying there are exceptional data scientists, with both technical acumen and business expertise. In fact, some of us in this industry have worked with them. But the reality is no matter how good the data scientists are, their interaction with the business and IT sides of the company are critical.
Author: Gabriel Mohanna